Method for fabricating neuron oscillator including thermal insulating device

Abstract

Accordingly the embodiments herein provide a method for fabricating a neuron oscillator (200a). The neuron oscillator (200a) includes a thermal insulating device connected with a resistor and a capacitor in series to produce self-sustained oscillations, where the resistor and the capacitor are arranged in parallel manner. The neuron oscillator (200a) eliminates a requirement of an additional compensation circuitry for a consistent performance over a time under heating issues. Additionally, an ON / OFF ratio of the neuron oscillator (200a) improves to a broader resistor range. Further, a presence of tunable synaptic memristor functionality of the neuron oscillator (200a) provides a reduced fabrication complexity to a large scale ONN. An input voltage required for the neuron oscillator (200a) is low (2-3 V) which makes it suitable to use with existing circuitries without using any additional converters. Additionally, an amplitude of the oscillations is a significant fraction of an applied bias which eliminates a need for an amplification.

Description

FIELD OF INVENTION[0001]The present disclosure relates to oscillatory neural networks, and more specifically to a method for fabricating a neuron oscillator including a thermal insulating device. The present application is based on, and claims priority from an Indian Application Number 201821019896 filed on 28th May, 2018 and PCT / IN2019 / 050416 filed on 28th May, 2019 the disclosure of which is hereby incorporated by reference hereinBACKGROUND OF INVENTION[0002]An energy efficient computing have huge demand in electronic devices such as smartphones, tablets etc. A conventional Von-Neumann architecture is inefficient in solving certain non-deterministic polynomial time (NP) hard problems like a pattern recognition, a combinatorial optimization etc. Various neural network architectures are being explored extensively which are energy efficient and can be used for multi-tasking operations. An oscillatory neural network (ONN) is the neural network which uses phase dynamics of oscillator n...

AI Technical Summary

Benefits of technology

[0015]In an embodiment, the transient joule heating based hysteretic thermal runaway is caused due to minimal heat loss in the thermally insulating device.

Problems solved by technology

A conventional Von-Neumann architecture is inefficient in solving certain non-deterministic polynomial time (NP) hard problems like a pattern recognition, a combinatorial optimization etc.

However, the hardware realization is challenged by issues like a frequency tunability, a complex circuit involving 10 to 20 transistors, a high power density etc.

In an embodiment, the low resistance state of the thermal insulating device generates charging and the high resistance state of the thermal insulating device generates discharging of the capacitor resulting in oscillations in the neuron oscillator.

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